Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R.

Do data viz the right way every time. Get data visualization tips to choose the right visualization, chart relationships, visualize data distributions, create maps, and more.

Learn about key themes in data visualization, data storytelling, and information design, and listen to interviews with leading designers and data visualization experts.

Build data visualizations that are accurate and compelling. Learn to create charts and graphs that look great and stand up to analysis.

Learn the keys to telling a story with data from data visualization expert Bill Shander.

Learn how to create interactive data visualizations that can be shared online or offline using Plotly.

Learn about the principles of tidy data, and discover how to create and manipulate data tibbles—transforming them from source data into tidy formats.

Tidy data is a data format that provides a standardized way of organizing data values within a dataset. By leveraging tidy data principles, statisticians, analysts, and data scientists can spend less time cleaning data and more time tackling the more compelling aspects of data analysis. In this course, learn about the principles of tidy data, and discover how to create and manipulate data tibbles—transforming them from source data into tidy formats. Instructor Mike Chapple uses the R programming language and the tidyverse packages to teach the concept of data wrangling—the data cleaning and data transformation tasks that consume a substantial portion of analysts' time. He wraps up with three hands-on case studies that help to reinforce the data wrangling principles and tactics covered in this course.

Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.

Leverage the power of data to design more effective learning content. Learn about the data-driven learning design process and how to build a data strategy of your own.

Learn how to improve network security by leveraging data. Learn about data collection, network forensics, and how to use machine learning and visualization to process network data.

Learn to create information-rich, visually compelling PowerPoint presentations driven by Excel data.

Drive your PowerPoint presentations with Excel data.

Learn to create information-rich, visually compelling PowerPoint presentations driven by Excel data.

Learn how to leverage MongoDB—a powerful document database—to handle common tasks. Learn how to create a database in MongoDB, join data sets, perform calculations, and more.

Learn how to build simple databases in Microsoft Excel, and format, validate, search, and analyze data with Excel's powerful data manipulation features.

In this installment of the Database Clinic series, enhance your understanding of MySQL by seeing how it handles a series of common tasks.

Enhance your understanding of Neo4j, a popular native graph database. In this installment of the Database Clinic series, discover how Neo4j handles a series of common tasks.

In this installment of the Database Clinic series, enhance your understanding of SQLite—the embedded database engine—by seeing how it handles a series of common tasks.

Ongoing, regular administration is critical to the security and performance of databases such as SQL Server. In this course—the fourth installment in the Database Foundations series—explore vital techniques and best practices for administering a database. Instructor Adam Wilbert covers a variety of core concepts, including how to secure a server with user authentication and roles, protect your database by setting up permissions for authorized user accounts, and perform a backup and restore. Adam also offers expert tips for ensuring that a database remains available, even through hardware maintenance, upgrades, and failures. Along the way, he provides tips for working effectively with both SQL Server and PostgreSQL.